Advanced Manufacturing Process Analysis

Advanced Manufacturing Process Analysis

University at Buffalo, The State University of New York

About this course: Variability is a fact of life in manufacturing environments, impacting product quality and yield. Through this course, students will learn why performing advanced analysis of manufacturing processes is integral for diagnosing and correcting operational flaws in order to improve yields and reduce costs.
Gain insights into the best ways to collect, prepare and analyze data, as well as computational platforms that can be leveraged to collect and process data over sustained periods of time. Become better prepared to participate as a member of an advanced analysis team and share valuable inputs on effective implementation.
Main concepts of this course will be delivered through lectures, readings, discussions and various videos.
This is the fourth course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,” and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.
To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/r-VHiwsg_t0

Who is this class for: This course is for anyone interested in how digital advances are changing the landscape and capabilities of manufacturing, from high school graduates exploring careers to operations managers and business owners hungry for an understanding of the newest manufacturing technologies.

The purpose of this module is to introduce the concept of advanced analysis in improvement of manufacturing processes. Also, this module will help you to understand the difference between discrete manufacturing and continuous manufacturing.

Storing big data is quite different from handling traditional data. This difference is explained in this module. The purpose of this module is to introduce various steps involved in data analysis. Data Collection, Data Storage, Data Organization and Data Pre-processing concepts are explained.

The purpose of this module is to introduce various techniques used in advanced analysis, like Determination of Significant Variables/Factors, Data Visualization, and Anomaly Detection. Also, this module will introduce various computational platforms (HPC, Cloud computing techniques) that exist for carrying out advanced analysis.

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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University at Buffalo

The University at Buffalo (UB) team includes the School of Engineering and Applied Sciences, the most comprehensive public school of engineering in New York; the Center for Industrial Effectiveness (TCIE), an engineering outreach center that supports the business community; and the Center for Educational Innovation, which elevates pedagogical advancement and improved learning. UB, a research-intensive public university, is the largest institution of the State University of New York system.

The State University of New York

The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe.

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Ratings and Reviews

Rated 4.3 out of 5 of 42 ratings

JS

This was my first Coursera course, but I was more than pleasantly surprised at the quality of material and presentations. It is a true mixed media platform that lives up to what I always hoped online learning would be. I have had many online, asynchronous courses from traditional universities, but I suspect I will never do another as long as Coursera is around. I look forward to this sort of learning and dabbling in a variety of subjects in my lifetime of learning.

Innovative lecture plan and content rich very Impressive

Greatly useful for a rookie who wants to earn knowledge on the advanced manufacturing processes which include latest technologies.

Very interesting, and difficult!

Data analysis is rocket science for me, but I will make my best effort.